Deepseek OCR 2 cuts visual tokens by 80% and outperforms Gemini 3 Pro on document parsing
2026-02-02
Summary
Deepseek has launched Deepseek OCR 2, a new vision encoder that processes images by context rather than a fixed pattern, significantly reducing the number of visual tokens required. This model scores 91.09% on the OmniDocBench benchmark, outperforming its predecessor and the Gemini 3 Pro in document parsing. It marks a step towards unified multimodal processing that could handle text, speech, and images using a consistent framework.
Why This Matters
This advancement in optical character recognition (OCR) means more efficient processing of visual information, which is crucial for industries relying on document digitization and analysis. By reducing the number of tokens needed, Deepseek OCR 2 can process images more quickly and accurately, potentially saving time and resources while improving data accuracy in professional settings.
How You Can Use This Info
For professionals dealing with large volumes of documents, adopting technologies like Deepseek OCR 2 can streamline workflows, reduce processing times, and enhance data management capabilities. Those in industries such as legal, healthcare, or finance could benefit from improved document parsing and data extraction, enabling better decision-making and more efficient operations.